Ken Uchida
Impact in
-
- Breast Cancer Treatment Studies
- Dermatology top 5%
- Cancer and Skin Lesions
Papers in
- Oncology 24
- Cancer Diagnosis and Treatment 5
- HER2/EGFR in Cancer Research 4
- Cancer Cells and Metastasis 3
-
- Breast Cancer Treatment Studies 10
- Co-authors
- Hiroshi Takeyama (22 shared papers)Hiroko Nogi (16 shared papers)Yuko Kai (4 shared papers)Kenji Tsunoda (4 shared papers)Kazumi Kawase (8 shared papers)Yasuo Toriumi (12 shared papers)Naruki Kitano (3 shared papers)Toshiaki Morikawa (16 shared papers)
- Journals
- Breast Cancer (10 papers)Surgery Today (4 papers)International Journal of Surgery (1 paper)BMJ Open (1 paper)Human Cell (1 paper)
- Partner nations
- JapanSwitzerlandIndia
In The Last Decade
Ken Uchida
40 papers receiving 559 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 153
- Dermatology 76
- Oncology 228
- Pathology and Forensic Medicine 141
- Pulmonary and Respiratory Medicine 112
Countries citing papers authored by Ken Uchida
This map shows the geographic impact of Ken Uchida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ken Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Uchida more than expected).
Fields of papers citing papers by Ken Uchida
This network shows the impact of papers produced by Ken Uchida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ken Uchida. The network helps show where Ken Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Uchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 91 | |
| 2 | 2013 | 63 | |
| 3 | 2015 | 55 | |
| 4 | 2008 | 34 | |
| 5 | 2013 | 27 | |
| 6 | 2008 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2016 | 19 | |
| 9 | 2007 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2014 | 17 | |
| 12 | 2005 | 16 | |
| 13 | 2009 | 13 | |
| 14 | 2011 | 13 | |
| 15 | 2008 | 12 | |
| 16 | 2009 | 12 | |
| 17 | 2006 | 11 | |
| 18 | 1996 | 11 | |
| 19 | 2004 | 11 | |
| 20 | 2003 | 10 |
About Ken Uchida
Ken Uchida is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Dermatology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 581 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Cancer and Skin Lesions (9 papers), Breast Lesions and Carcinomas (6 papers), Cancer Diagnosis and Treatment (5 papers), HER2/EGFR in Cancer Research (4 papers), Medical Imaging and Pathology Studies (3 papers), Cancer Cells and Metastasis (3 papers) and Parathyroid Disorders and Treatments (3 papers). The work is most often cited by research in Cancer Research (153 citations), Dermatology (76 citations), Oncology (228 citations), Pathology and Forensic Medicine (141 citations) and Pulmonary and Respiratory Medicine (112 citations). Ken Uchida has collaborated with scholars based in Japan, Switzerland and India. Frequent co-authors include Hiroshi Takeyama, Hiroko Nogi, Yuko Kai, Kenji Tsunoda, Kazumi Kawase, Yasuo Toriumi, Naruki Kitano, Toshiaki Morikawa, Toshiya Nagamatsu and Akinori Yamashita. Their work appears in journals such as Breast Cancer, Surgery Today, International Journal of Surgery, BMJ Open and Human Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.